Model-informed drug development in pediatric, pregnancy and geriatric drug development: States of the art and future

The challenges of drug development in pediatric, pregnant and geriatric populations are a worldwide concern shared by regulatory authorities, pharmaceutical companies, and healthcare professionals. Model-informed drug development (MIDD) can integrate and quantify real-world data of physiology, pharmacology, and disease processes by using modeling and simulation techniques to facilitate decision-making in drug development. In this article, we reviewed current MIDD policy updates, reflected on the integrity of physiological data used for MIDD and the effects of physiological changes on the drug PK, as well as summarized current MIDD strategies and applications, so as to present the state of the art of MIDD in pediatric, pregnant and geriatric populations. Some considerations are put forth for the future improvements of MIDD including refining regulatory considerations, improving the integrity of physiological data, applying the emerging technologies, and exploring the application of MIDD in new therapies like gene therapies for special populations.

Efficacy of First-Line Treatment With Pertuzumab and Trastuzumab in Advanced Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer in Routine Clinical Practice

Background

The first-line treatment for human epidermal growth factor receptor 2-positive (HER2+) metastatic breast cancer (MBC) involves a combination of trastuzumab, pertuzumab, and a taxane (TPH). This study assessed the efficacy of trastuzumab and pertuzumab (PH) in routine practice, following the treatment protocols of Uruguay's National Resources Fund (FNR), akin to clinical trials.

Methods

Patients with advanced MBC treated with PH between 2008 and 2022 per FNR protocols were evaluated. The Kaplan-Meyer method and log-rank test were utilized for analyzing overall survival (OS). Demographic and clinical variables, including age, menopausal status, and hormone receptors (HR), were analyzed.

Results

The study included 318 PH-treated patients. The median age was 56 years, with 63.2% being postmenopausal and 60.4% HR and HER-2 positive. With a median follow-up of 17.2 months, the median OS was 29 months. OS varied based on HR status and the presence of metastases at different sites, significantly lower in patients with brain, cutaneous/subcutaneous, and pulmonary metastases. Additionally, OS was higher in patients treated at private institutions compared to public ones.

Conclusions

This study demonstrates the disparity in oncological treatment efficacy between clinical trials and clinical reality in Uruguay, emphasizing the importance of authentic environment research for more representative and effective medicine in Latin America.

Response- and Progression-Based End Points in Trial and Observational Cohorts of Patients With NSCLC

Importance

Response Evaluation Criteria in Solid Tumors (RECIST) are commonly used to assess therapeutic response in clinical trials but not in routine care; thus, RECIST-based end points are difficult to include in observational studies. Clinician-anchored approaches for measuring clinical response have been validated but not widely compared with clinical trial data, limiting their use as evidence for clinical decision-making.

Objective

To compare response- and progression-based end points in clinical trial and observational cohorts of patients with non-small cell lung cancer (NSCLC).

Design, Setting, and Participants

This retrospective cohort study used patient-level data from the IMpower132 trial (conducted April 7, 2016, to May 31, 2017) and a nationwide electronic health record (EHR)-derived deidentified database (data collected January 1, 2011, to March 31, 2022). Patients in the observational cohort were selected according to the inclusion and exclusion criteria of the IMpower132 trial. All patients in the observational cohort had stage IV NSCLC.

Exposure

All patients were randomized to or received first-line carboplatin or cisplatin plus pemetrexed.

Main Outcomes and Measures

End points included response rates, duration of response, and progression-free survival, compared between the trial and observational cohorts before and after weighting. Response rates for the observational cohort were derived from the EHR.

Results

A total of 769 patients met inclusion criteria, 494 in the observational cohort (median [IQR] age, 67 [60-74] years; 228 [46.2%] female; 45 [9.1%] Black or African American; 352 [71.3%] White; 53 [10.7%] American Indian or Alaska Native, Asian, Hawaiian or Pacific Islander, or multiracial) and 275 in the trial cohort (median [IQR] age, 63 [56-68] years; 90 [32.7%] female; 4 [1.5%] Black or African American; 194 [70.5%] White; 65 [23.6%] American Indian or Alaska Native, Asian, Hawaiian or Pacific Islander, or multiracial). All 3 end points were comparable between the study cohorts. Trial patients had a higher number of response assessments compared with patients in the weighted observational cohort. The EHR-derived response rate was numerically higher than the objective response rate after weighting (100.3 of 249.3 [40.2%] vs 105 of 275 [38.2%]) due to higher rates of observed partial response than RECIST-based partial response. Among patients with at least 1 response assessment, the EHR-derived response rate remained higher than the objective response rate (100.3 of 193.4 [51.9%] vs 105 of 256 [41.0%]) due to a higher proportion of patients in the observational cohort with no response assessment.

Conclusions and Relevance

In this study, response- and progression-based end points were similar between clinical trial and weighted observational cohorts, which increases confidence in the reliability of observational end points and can inform their interpretation in relation to trial end points. Additionally, the difference observed in response rates (including vs excluding patients with no response assessment) highlights the importance of future research adopting this 2-way approach when evaluating the relationship of EHR-derived and objective response rates.

genRCT: a statistical analysis framework for generalizing RCT findings to real-world population

When evaluating the real-world treatment effect, the analysis based on randomized clinical trials (RCTs) often introduces generalizability bias due to the difference in risk factors between the trial participants and the real-world patient population. This problem of lack of generalizability associated with the RCT-only analysis can be addressed by leveraging observational studies with large sample sizes that are representative of the real-world population. A set of novel statistical methods, termed "genRCT", for improving the generalizability of the trial has been developed using calibration weighting, which enforces the covariates balance between the RCT and observational study. This paper aims to review statistical methods for generalizing the RCT findings by harnessing information from large observational studies that represent real-world patients. Specifically, we discuss the choices of data sources and variables to meet key theoretical assumptions and principles. We introduce and compare estimation methods for continuous, binary, and survival endpoints. We showcase the use of the R package genRCT through a case study that estimates the average treatment effect of adjuvant chemotherapy for the stage 1B non-small cell lung patients represented by a large cancer registry.

The nonadherence and risk factors of eradication failure by sequential therapy as first-line anti-Helicobacter pylori treatment in real-world clinical practice

BACKGROUND

The eradication rates of sequential therapy are high in clinical trials; however, the adherence for follow-up or the patient population in a real-world setting might be different from those in trails. This study investigates the effectiveness of sequential therapy in a real-world setting and the factors that lead to treatment failure.

MATERIALS AND METHODS

In this retrospective study, patients receiving sequential therapy as a first-line anti-Helicobacter pylori (H. pylori) treatment in a real-world setting were reviewed. The age adjusted Charlson Comorbidity Index (age-CCI) and baseline variety of medications were reviewed to determine factors correlated with nonadherence for post-treatment testing and H. pylori eradication failure.

RESULTS

A total of 1053 patients were reviewed. A total of 579 patients receiving sequential therapy were included in the analyses. Among them, 462 received post-treatment testing and were placed into the follow-up group. Thus, the post-treatment testing rate was 79.8%. Stroke was an independent factor of nonadherence for post-treatment testing. In the follow-up group, the eradication failure rate was 8.2%. Female sex (odds ratio [OR] 2.41 [95% CI 1.16-5.03], p = 0.02) and age-CCI ≥2 (OR 3.16 [1.05-9.48], p = 0.04) were independent factors of H. pylori eradication failure. The eradication failure rates were 14.4%, 7.8%, 7.1%, and 3.1% for the females with age-CCI ≥2, females with age-CCI <2, males with age-CCI ≥2, and males with age-CCI <2 subgroups, respectively (p = 0.027).

CONCLUSIONS

In a real-world setting, the adherence rate of post-treatment testing for sequential therapy as a first-line anti-H. pylori treatment was found to be suboptimal. Female sex and age-CCI ≥2 were independent factors of eradication failure.

Raising the Bar for Real-World Data in Oncology: Approaches to Quality Across Multiple Dimensions

PURPOSE

Electronic health record (EHR)-based real-world data (RWD) are integral to oncology research, and understanding fitness for use is critical for data users. Complexity of data sources and curation methods necessitate transparency into how quality is approached. We describe the application of data quality dimensions in curating EHR-derived oncology RWD.

METHODS

A targeted review was conducted to summarize data quality dimensions in frameworks published by the European Medicines Agency, The National Institute for Healthcare and Excellence, US Food and Drug Administration, Duke-Margolis Center for Health Policy, and Patient-Centered Outcomes Research Institute. We then characterized quality processes applied to curation of Flatiron Health RWD, which originate from EHRs of a nationwide network of academic and community cancer clinics, across the summarized quality dimensions.

RESULTS

The primary quality dimensions across frameworks were relevance (including subdimensions of availability, sufficiency, and representativeness) and reliability (including subdimensions of accuracy, completeness, provenance, and timeliness). Flatiron Health RWD quality processes were aligned to each dimension. Relevancy to broad or specific use cases is optimized through data set size and variable breadth and depth. Accuracy is addressed using validation approaches, such as comparison with external or internal reference standards or indirect benchmarking, and verification checks for conformance, consistency, and plausibility, selected on the basis of feasibility and criticality of the variable to the intended use case. Completeness is assessed against expected source documentation; provenance by recording data transformation, management procedures, and auditable metadata; and timeliness by setting refresh frequency to minimize data lags.

CONCLUSION

Development of high-quality, scaled, EHR-based RWD requires integration of systematic processes across the data lifecycle. Approaches to quality are optimized through knowledge of data sources, curation processes, and use case needs. By addressing quality dimensions from published frameworks, Flatiron Health RWD enable transparency in determining fitness for real-world evidence generation.

First-line real-world treatment patterns and survival outcomes in women younger or older than 40 years with metastatic breast cancer in the real-life multicenter French ESME cohort

AIM

To describe first-line treatment patterns, overall survival (OS) and real-world progression-free survival (rwPFS) in young women (<40) with metastatic breast cancer (mBC), as compared to women aged 40-69.

MATERIALS AND METHODS

Data on adult women diagnosed with mBC (2008-2017) were extracted from the ESME mBC database (NCT03275311) which includes consecutive patients starting first-line metastatic treatment in one of the 18 French Comprehensive cancer centers. We reported first-line therapeutic strategy and prognostic factors of OS and rwPFS for women aged < 40 and 40-69.

RESULTS

In total, 14,897 mBC women were included (1512 aged <40). HR+ /HER2- mBC was the most frequent subtype. First-line treatment differed between young patients and older ones for HR+ /HER2- and Triple Negative (TN) mBC. Median OS for women aged < 40 and 40-69, respectively, was 46.9 and 46.2 months for HR+ /HER2- mBC; 13.5 and 15.2 for TN mBC; and, 60.7 and 55.1 for HER2 + mBC. Median rwPFS under first line treatment was 11.6 and 11.9 months for HR+ /HER2- in women aged < 40 and 40-69, respectively; 5.5 and 5.9 for TN, and, 13.3 and 12.9 for HER2 + . Factors associated with shorter OS and rwPFS were similar for both women aged < 40 and 40-69 and included ≥ 3 metastatic sites, visceral metastases, and longer MFI, with time-varying effects observed for several prognostic factors.

CONCLUSION

Young women presented more frequently with TN and HER2 + subtypes and aggressive mBC than women aged 40-69 did. Prognostic factors of OS and rwPFS were quite similar between age groups and mBC subtypes.

Real-World Evidence Studies in Oncology Therapeutics: Hope or Hype?

Randomized controlled trial (RCT) remains a gold standard in evidence-based medicine for assessing the efficacy and safety of cancer therapies. However, due to some inherent methodological limitations of RCT, such as stringent inclusion criteria, highly specific treatment, ethical and scientific compromise in rare cancer, and inability to adequately assess safety, real-world evidence (RWE) has been adjudged as a suitable option to complement data obtained from RCT. Moreover, in the context of cancer therapeutics, few notable merits pertain to developing a novel product for rare cancer subtypes, establishing new indications for already approved drugs, optimization of treatment regimen and sequence, a better description of long-term safety, and supporting the reimbursement-related decision. However, the implementation of RWE for the aforementioned purposes will be limited by various challenges, especially in the context of developing economies such as India. Special attention should be given to the availability of data, maintaining the quality standard, and establishing stringent regulations for privacy and security along with active regulatory engagement with relevant stakeholders. Such activities will be key to facilitating the use of RWE in cancer therapeutics.

Real-world evidence of neoadjuvant chemotherapy for breast cancer treatment in a Brazilian multicenter cohort: Correlation of pathological complete response with overall survival

OBJECTIVES

We aimed to evaluate the pCR rate in patients receiving NAC for the treatment of breast cancer (BC) in a multicenter cohort in Brazil. Additionally, we aimed to use RWD to assess the impact of pCR on OS and DFS.

METHODS

This was a retrospective, multicenter cohort study that included female patients over 18 years of age who were diagnosed with nonmetastatic breast cancer and received NAC. OS and DFS at five years were estimated by the Kaplan‒Meier method. Additionally, we conducted a multivariate analysis to identify factors that were significantly associated with pCR and OS.

RESULTS

From 2011 to 2020, 1891 patients were included in the study, and 421 (22,3%) achieved pCR (ypT0 ypN0). Considering the presence of residual DCIS, pCR was achieved in 467 patients (23,5%). The pCR rate varied between the subtypes: HER-2+ (p = 0,016) and clinical stage IIIA and IIIB (p < 0,001). Among HER-2+ patients, those who received trastuzumab had a significantly higher pCR rate than those who did not receive trastuzumab (p < 0.0001). Similarly, patients with TNBC who received treatment with platinum-based regimens also showed higher pCR rates (p < 0.0001). OS was grouped according to pCR status, and the OS rate was 88,3% in the pCR group and 58.1% in the non-pCR group (p < 0.0001). The five-year DFS was 92.2% in the pCR group and 64.3% in the non-pCR group (p < 0.0001).

CONCLUSION

The pCR rate and its prognostic value varied across BC subtypes. In our study, pCR could be used as a surrogate of favorable clinical outcome, as it was associated with higher OS and DFS rates.

Recent advancement in integrating artificial intelligence and information technology with real-world data for clinical decision-making in China: A scoping review

OBJECTIVE

Striking innovations and advancements have been achieved with the use of artificial intelligence and healthcare information technology being integrated into clinical real-world data. The current scoping review aimed to provide an overview of the current status of artificial intelligence-/information technology-based clinical decision support tools in China.

METHODS

PubMed/MEDLINE, Embase, China National Knowledge Internet, and Wanfang data were searched for both English and Chinese literature. The gray literature search was conducted for commercially available tools. Original studies that focused on clinical decision support tools driven by artificial intelligence or information technology in China and were published between 2010 and February 2022 were included. Information extracted from each article was further synthesized by themes based on three types of clinical decision-making.

RESULTS

A total of 37 peer-reviewed publications and 13 commercially available tools were included in the final analysis. Among them, 32.0% were developed for disease diagnosis, 54.0% for risk prediction and classification, and 14.0% for disease management. Chronic diseases were the most popular therapeutic areas of exploration, with particular emphasis on cardiovascular and cerebrovascular diseases. Single-center electronic medical records were the mainstream data sources leveraged to inform clinical decision-making, with internal validation being predominately used for model evaluation.

CONCLUSIONS

To effectively promote the extensive use of real-world data and drive a paradigm shift in clinical decision-making in China, multidisciplinary collaboration of key stakeholders is urgently needed.

Toward responsible clinical n-of-1 strategies for rare diseases

N-of-1 strategies can provide high-quality evidence of treatment efficacy at the individual level and optimize evidence-based selection of off-label treatments for patients with rare diseases. Given their design characteristics, n-of-1 strategies are considered to lay at the intersection between medical research and clinical care. Therefore, whether n-of-1 strategies should be governed by research or care regulations remains a debated issue. Here, we delineate differences between medical research and optimized clinical care, and distinguish the regulations which apply to either. We also set standards for responsible optimized clinical n-of-1 strategies with (off-label) treatments for rare diseases. Implementing clinical n-of-1 strategies as defined here could aid in optimized treatment selection for such diseases.

Inferring cancer disease response from radiology reports using large language models with data augmentation and prompting

OBJECTIVE

To assess large language models on their ability to accurately infer cancer disease response from free-text radiology reports.

MATERIALS AND METHODS

We assembled 10 602 computed tomography reports from cancer patients seen at a single institution. All reports were classified into: no evidence of disease, partial response, stable disease, or progressive disease. We applied transformer models, a bidirectional long short-term memory model, a convolutional neural network model, and conventional machine learning methods to this task. Data augmentation using sentence permutation with consistency loss as well as prompt-based fine-tuning were used on the best-performing models. Models were validated on a hold-out test set and an external validation set based on Response Evaluation Criteria in Solid Tumors (RECIST) classifications.

RESULTS

The best-performing model was the GatorTron transformer which achieved an accuracy of 0.8916 on the test set and 0.8919 on the RECIST validation set. Data augmentation further improved the accuracy to 0.8976. Prompt-based fine-tuning did not further improve accuracy but was able to reduce the number of training reports to 500 while still achieving good performance.

DISCUSSION

These models could be used by researchers to derive progression-free survival in large datasets. It may also serve as a decision support tool by providing clinicians an automated second opinion of disease response.

CONCLUSIONS

Large clinical language models demonstrate potential to infer cancer disease response from radiology reports at scale. Data augmentation techniques are useful to further improve performance. Prompt-based fine-tuning can significantly reduce the size of the training dataset.

Evolution of Patterns of Care and Outcomes in the Real-Life Setting for Patients with Metastatic GIST Treated in Three French Expert Centers over Three Decades

Gastrointestinal stromal tumors (GIST) are rare mesenchymal tumors characterized by KIT or PDGFRA mutations. Over three decades, significant changes in drug discovery and loco-regional (LR) procedures have impacted treatment strategies. We assessed the evolution of treatment strategies for metastatic GIST patients treated in the three national coordinating centers of NetSarc, the French network of sarcoma referral centers endorsed by the National Institute of Cancers, from 1990 to 2018. The primary objective was to describe the clinical and biological profiles as well as the treatment modalities of patients with metastatic GIST in a real-life setting, including access to clinical trials and LR procedures in the metastatic setting. Secondary objectives were to assess (1) patients' outcome in terms of time to next treatment (TNT) for each line of systemic treatment, (2) patients' overall survival (OS), (3) evolution of patients' treatment modalities and OS according to treatment access: <2002 (pre-imatinib approval), 2002-2006 (pre-sunitinib approval), 2006-2014 (pre-regorafenib approval), post 2014, and (4) the impact of clinical trials and LR procedures on TNT and OS in the metastatic setting. 1038 patients with a diagnosis of GIST made in one of the three participating centers between 1990 and 2018 were included in the national prospective database. Among them, 492 patients presented metastasis, either synchronous or metachronous. The median number of therapy lines in the metastatic setting was 3 (range 0-15). More than half of the patients (55%) participated in a clinical trial during the course of their metastatic disease and half (51%) underwent additional LR procedures on metastatic sites. The median OS in the metastatic setting was 83.4 months (95%CI [72.7; 97.9]). The median TNT was 26.7 months (95%CI [23.4; 32.3]) in first-line, 10.2 months (95%CI [8.6; 11.8]) in second line, 6.7 months (95%CI [5.3; 8.5]) in third line, and 5.5 months (95%CI [4.3; 6.7]) in fourth line, respectively. There was no statistical difference in OS in the metastatic setting between the four therapeutic periods (log rank, p = 0.18). In multivariate analysis, age, AFIP Miettinen classification, mutational status, surgery of the primary tumor, participation in a clinical trial in the first line and LR procedure to metastatic sites were associated with longer TNT in the first line, whereas age, mitotic index, mutational status, surgery of the primary tumor and LR procedure to metastatic sites were associated with longer OS. This real-life study advocates for early reference of metastatic GIST patients to expert centers to orchestrate the best access to future innovative clinical trials together with LR strategies and further improve GIST patients' survival.

Association between progression-free survival and overall survival in women receiving first-line treatment for metastatic breast cancer: evidence from the ESME real-world database

BACKGROUND

Overall survival (OS) is the gold standard endpoint to assess treatment efficacy in cancer clinical trials. In metastatic breast cancer (mBC), progression-free survival (PFS) is commonly used as an intermediate endpoint. Evidence remains scarce regarding the degree of association between PFS and OS. Our study aimed to describe the individual-level association between real-world PFS (rwPFS) and OS according to first-line treatment in female patients with mBC managed in real-world setting for each BC subtype (defined by status for both hormone-receptor [HR] expression and HER2 protein expression/gene amplification).

METHODS

We extracted data from the ESME mBC database (NCT03275311) which gathers deidentified data from consecutive patients managed in 18 French Comprehensive Cancer Centers. Adult women diagnosed with mBC between 2008 and 2017 were included. Endpoints (PFS, OS) were described using the Kaplan-Meier method. Individual-level associations between rwPFS and OS were estimated using the Spearman's correlation coefficient. Analyses were conducted by tumor subtype.

RESULTS

20,033 women were eligible. Median age was 60.0 years. Median follow-up duration was 62.3 months. Median rwPFS ranged from 6.0 months (95% CI 5.8-6.2) for HR-/HER2 - subtype to 13.3 months (36% CI 12.7-14.3) for HR + /HER2 + subtype. Correlation coefficients were highly variable across subtypes and first-line (L1) treatments. Among patients with HR - /HER2 - mBC, correlation coefficients ranged from 0.73 to 0.81, suggesting a strong rwPFS/OS association. For HR + /HER2 + mBC patients, the individual-level associations were weak to strong with coefficients ranging from 0.33 to 0.43 for monotherapy and from 0.67 to 0.78 for combined therapies.

CONCLUSIONS

Our study provides comprehensive information on individual-level association between rwPFS and OS for L1 treatments in mBC women managed in real-life practice. Our results could be used as a basis for future research dedicated to surrogate endpoint candidates.

Utilization of real-world data in assessing treatment effectiveness for diffuse large B-cell lymphoma

Direct comparisons of the effectiveness of the numerous novel therapies in the diffuse large B-cell lymphoma (DLBCL) treatment landscape in a range of head-to-head randomized phase 3 trials would be time-consuming and costly. Comparative effectiveness studies using real-world data (RWD) represent a complementary approach. Recently, several studies of relapsed/refractory (R/R) DLBCL have used RWD to create observational cohorts to compare patient outcomes with cohorts derived from single-arm phase 2 trials. Using propensity score methods to balance clinically and prognostically relevant baseline covariates, closely matched patient-level cohorts can be generated. By incorporating appropriate measures to assess covariate balance and address potential bias in comparative effectiveness study designs, robust comparative analyses can be performed. Results from such studies have been used to supplement regulatory approval of therapies assessed in single-arm trials. While RWD studies have a greater susceptibility to bias compared to randomized controlled trials, well-designed and appropriately analyzed studies can provide complementary real-world evidence on treatment effectiveness.

Clinical practice guideline adherence in oncology: A qualitative study of insights from clinicians in Australia

BACKGROUND

The burden of cancer is large in Australia, and rates of cancer Clinical Practice Guideline (CPG) adherence is suboptimal across various cancers.

METHODS

The objective of this study is to characterise clinician-perceived barriers and facilitators to cancer CPG adherence in Australia. Semi-structured interviews were conducted to collect data from 33 oncology-focused clinicians (surgeons, radiation oncologists, medical oncologists and haematologists). Clinicians were recruited in 2019 and 2020 through purposive and snowball sampling from 7 hospitals across Sydney, Australia, and interviewed either face-to-face in hospitals or by phone. Audio recordings were transcribed verbatim, and qualitative thematic analysis of the interview data was undertaken. Human research ethics committee approval and governance approval was granted (2019/ETH11722, #52019568810127).

RESULTS

Five broad themes and subthemes of key barriers and facilitators to cancer treatment CPG adherence were identified: Theme 1: CPG content; Theme 2: Individual clinician and patient factors; Theme 3: Access to, awareness of and availability of CPGs; Theme 4: Organisational and cultural factors; and Theme 5: Development and implementation factors. The most frequently reported barriers to adherence were CPGs not catering for patient complexities, being slow to be updated, patient treatment preferences, geographical challenges for patients who travel large distances to access cancer services and limited funding of CPG recommended drugs. The most frequently reported facilitators to adherence were easy accessibility, peer review, multidisciplinary engagement or MDT attendance, and transparent CPG development by trusted, multidisciplinary experts. CPGs provide a reassuring framework for clinicians to check their treatment plans against. Clinicians want cancer CPGs to be frequently updated utilising a wiki-like process, and easily accessible online via a comprehensive database, coordinated by a well-trusted development body.

CONCLUSION

Future implementation strategies of cancer CPGs in Australia should be tailored to consider these context-specific barriers and facilitators, taking into account both the content of CPGs and the communication of that content. The establishment of a centralised, comprehensive, online database, with living wiki-style cancer CPGs, coordinated by a well-funded development body, along with incorporation of recommendations into point-of-care decision support would potentially address many of the issues identified.

Real-world experience in treating pediatric relapsed/refractory or therapy-related myeloid malignancies with decitabine, vorinostat, and FLAG therapy based on a phase 1 study run by the TACL consortium

Current therapies for relapsed/refractory (R/R) pediatric myeloid neoplasms are inadequately effective. Real-world data (RWD) can improve care by augmenting traditional studies and include individuals not eligible for clinical trials. The Therapeutic Advances in Childhood Leukemia and Lymphoma (TACL) consortium recently completed T2016-003, a phase 1 study of decitabine, vorinostat, fludarabine, cytarabine, and granulocyte colony-stimulating factor (G-CSF) in R/R acute myeloid leukemia (AML), which added epigenetic drugs to a cytotoxic backbone. We report results of RWD from six centers that treated 28 pediatric patients (26 with AML, two with other myeloid neoplasms) identically to the TACL study but who were not enrolled. This allowed unique analyses and the ability to compare data with the 35 TACL study patients. The overall response rate (ORR) (complete response [CR] plus CR with incomplete count recovery) among 26 RWD evaluable patients was 65%. The ORR of 13 patients with relapsed AML with epigenetic alterations was 69% (T2016-003 + RWD: 68%, n = 25), of eight patients with refractory AML was 38% (T2016-003 + RWD: 41%, n = 17) and of five patients with therapy-related AML (t-AML) was 80% (T2016-003 + RWD: 75%, n = 8). The mean number of Grade 3/4 toxicities experienced by the T2016-003-eligible RWD population (n = 22) (one per patient-cycle) was not meaningfully different than those (n = 6) who would have been TACL study-ineligible secondary to comorbidities (two per patient-cycle). Overall, this therapy was well tolerated and effective in pediatric patients with R/R myeloid neoplasms, particularly those with epigenetic alterations, t-AML, and refractory disease.

Disparities in trial enrollment and outcomes of Hispanic adolescent and young adult acute lymphoblastic leukemia

Contrary to population data, survival of Hispanic AYA ALL patients enrolled on CALGB 10403 was equivalent to non-Hispanic patients.

Geographical alignment between Hispanic patient incidence and trial sites may increase Hispanic patient enrollment onto clinical trials.

In this secondary analysis of Hispanic adolescents and young adults (AYA) with acute lymphoblastic leukemia (ALL) treated on Cancer and Leukemia Group B (CALGB) 10403, we evaluated outcomes and geographic enrollment patterns relative to US population data. We used demographic, clinical, and survival data on AYAs enrolled on CALGB 10403 (N = 295, 2007-2012). Surveillance, Epidemiology, and End Results registries provided overall survival (OS) for US AYA ALL by ethnicity/race. North American Association of Cancer Registries provided AYA ALL incidence overall and proportion among Hispanics by US state. Of AYAs enrolled on CALGB 10403, 263 (89%) reported ethnicity/race: 45 (17%) Hispanic, 172 (65%) non-Hispanic White (NHW), 25 (10%) non-Hispanic Black (NHB), and 21 (8%) other. Compared with NHWs, Hispanic and NHB patients had lower household income, and Hispanic patients were more likely to harbor high-risk CRLF2 aberrations. Relative to US estimates, where Hispanic patients represented 46% of newly diagnosed AYA ALL patients and experienced inferior OS compared with NHW (P < .001), Hispanic AYAs on CALGB 10403 did as well as NHW patients (3 year OS, 75% vs 74%; P = NS). Hispanic patients also had higher rates of protocol completion (P = .05). Enrollments on CALGB 10403 differed relative to the distribution of Hispanic AYA ALL in the United States: enrollment was highest in the Midwest; t and only 15% of enrollees were from states with a high proportion of Hispanic AYA ALL patients. In summary, Hispanic patients treated on CALGB 10403 did as well as NHWs and better than population estimates. Geographical misalignment between trial sites and disease epidemiology may partially explain the lower-than-expected enrollment of Hispanic AYA ALL patients.

Practical management of older adults with cancer: geriatric oncology in Japan

Japan has the highest proportion of older adults globally, and the average life expectancy of the Japanese population has increased in recent decades. Given that the incidence of cancer increases with age, it is a major health concern for older adults. However, geriatric oncology is a relatively new field and collaboration between oncologists and geriatricians in Japan is limited. Hence, oncologists and other healthcare professionals engaged in cancer care have not been able to adequately understand geriatric care, and information and experience are insufficient for this specific population. Thus, they may struggle with the assessment and management of older adults with cancer. Recently, several Japanese academic societies for cancer have developed practical guidelines and research policy with regard to geriatric research in older adults with cancer, in addition to organizing symposia and workshops focusing especially on geriatric oncology. Furthermore, because the Japan Geriatrics Society established a discipline committee on cancer, close collaboration between oncologists and geriatricians has grown steadily. Geriatric oncology is currently recognized as an important field of cancer care in Japan. The integration of oncology and geriatric care is anticipated in the near future. However, understanding the aspects of geriatric care and meanings of technical jargons used in geriatric oncology is difficult. Accordingly, this article provides an overview of the current knowledge and recent advancements in geriatric oncology. In addition, it outlines the current status and problems of geriatric oncology in Japan.

The association between quality care and outcomes for a real-world population of Australian patients diagnosed with pancreatic cancer

BACKGROUND

This study: (i) assessed compliance with a consensus set of quality indicators (QIs) in pancreatic cancer (PC); and (ii) evaluated the association between compliance with these QIs and survival.

METHODS

Four years of data were collected for patients diagnosed with PC. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). A multivariable analysis tested the relationship between significant patient and hospital characteristics, patient cluster effects within hospitals and survival.

RESULTS

1061 patients were eligible for this study. Significant association with improved survival were: (i) in the potentially resectable group having adjuvant chemotherapy administered following surgery or a reason documented (HR, 0.29; 95 CI, 0.19-0.46); (ii) in the locally advanced group included having chemotherapy ± chemoradiation, or a reason documented for not undergoing treatment (HR, 0.38; 95 CI, 0.25-0.58); and (iii) in the metastatic disease group included having documented performance status at presentation (HR, 0.65; 95 CI, 0.47-0.89), being seen by an oncologist in the absence of treatment (HR, 0.48; 95 CI, 0.31-0.77), and disease management discussed at a multidisciplinary team meeting (HR, 0.79; 95 CI, 0.64-0.96).

CONCLUSION

Capture of a concise data set has enabled quality of care to be assessed.

Novel Use of Patient-Specific Covariates From Oncology Studies in the Era of Biomedical Data Science: A Review of Latest Methodologies

In this article, we review different applications of how to incorporate individual patient variables into clinical research within oncology. These methodologies range from the more traditional use of baseline covariates from randomized clinical trials, as well as observational studies, to using covariates to generalize the results of randomized clinical trials to other populations. Individual patient variables also allow for the consideration of heterogeneity in treatment effects and individualized treatment rules. We primarily consider two treatment groups and mostly focus on time-to-event outcomes where such methodologies have been well established and widely applied. We also discuss more conceptually newer statistical research that has not been widely applied in clinical oncology, but is likely to make an impact in future oncology research. With the increasing amount of biomedical data available for analysis, it is inevitable that more methods are developed to make best use of information, to advance oncology research.

Treatment and outcomes of older versus younger women with HER2-positive metastatic breast cancer in the real-world national ESME database

Background

Treatment and outcomes of patients with HER2-positive (HER2+) metastatic breast cancer (MBC) have dramatically improved over the past 20 years. This work evaluated treatment patterns and outcomes according to age.

Methods

Women who initiated a treatment for HER2+ MBC between 2008 and 2016 in one of the 18 French comprehensive centers part of the ESME program were included. Objectives were the description of first-line treatment patterns, overall survival (OS), first-line progression-free survival (PFS), and prognostic factors among patients aged 70 years or more (70+), or less than 70 (<70).

Results

Of 4045 women diagnosed with an HER2+ MBC, 814 (20%) were 70+. Standard first-line treatment (chemotherapy combined with an anti-HER2 therapy) was prescribed in 65% of 70+ versus 89% of <70 patients (p < 0.01). Median OS was 49.2 (95% CI, 47.1–52.4), 35.3 (95% CI, 31.5–37.0) and 54.2 months (95% CI, 50.8–55.7) in the whole population, in patients 70+ and <70, respectively. Corresponding median PFS1 were 12.8 (95% CI, 12.3–13.3), 11.1 (95% CI, 10.0–12.3) and 13.2 months (95% CI, 12.7–13.9), respectively. In 70+ women, initiation of non-standard first-line treatment had an independent detrimental time-varying effect on both OS and PFS (HR on OS at 1 year: chemotherapy without anti-HER2 2.79 [95% CI: 2.05–3.79]; endocrine therapy and/or anti-HER2 1.96 [95% CI: 1.43–2.69]).

Conclusions

In this large retrospective real-life database, older women with HER2+ MBC received standard first-line treatment less frequently than younger ones. This was independently associated with a worse outcome, but confounding factors and usual selection biases cannot be ruled out.

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Only 65% of women aged 70+ with HER2+ MBC receive a standard first-line treatment.

•

Median PFS1 of women 70+ with HER2+ MBC is 11.1 months (95% CI, 10.0–12.3) vs 13.2 (95% CI, 12.7–13.9) for younger ones.

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Non-standard first-line treatment has a detrimental time-varying effect on both OS and PFS.

Establishing cost-effective allocation of proton therapy for patients with mediastinal Hodgkin lymphoma

PURPOSE

For curative treatment of Hodgkin lymphoma, radiotherapy benefit must be weighed against toxicity. Although more costly, proton radiotherapy reduces dose to healthy tissue, potentially improving the therapeutic ratio compared to photons. We sought to determine the cost-effectiveness of proton versus photon therapy for mediastinal Hodgkin lymphoma (MHL) based on reduced heart disease.

METHODS

Our model approach was two-fold: (1) Utilize patient-level dosimetric information for a cost-effectiveness analysis using a Markov cohort model. (2) Utilize population-based data to develop guidelines for policy-makers to determine thresholds of proton therapy favorability for a given photon dose. The HD14 trial informed relapse risk; coronary heart disease risk was informed by the Framingham risk calculator modified by the mean heart dose (MHD) from radiation. Sensitivity analyses assessed model robustness and identified the most influential model assumptions. A 30-year-old adult with MHL was the base case using 30.6-Gy proton therapy versus photon intensity-modulated radiotherapy.

RESULTS

Proton therapy was not cost-effective in the base case for male ($129K/QALY) or female patients ($196/QALY). A 5-Gy MHD decrease was associated with proton therapy incremental cost-effectiveness ratio<$100K/QALY in 40% of scenarios. The hazard ratio associating MHD and heart disease was the most influential clinical parameter.

CONCLUSION

Proton therapy may be cost-effective a select minority of patients with MHLbased on age, sex, and MHD reduction. We present guidance for clinicians utilizing MHD to aid decision-making for radiotherapy modality.

Perception versus reality: A National Cohort Analysis of the surgery-first approach for resectable pancreatic cancer

Introduction

Although surgical resection is necessary, it is not sufficient for long‐term survival in pancreatic ductal adenocarcinoma (PDAC). We sought to evaluate survival after up‐front surgery (UFS) in anatomically resectable PDAC in the context of three critical factors: (A) margin status; (B) CA19‐9; and (C) receipt of adjuvant chemotherapy.

Methods

The National Cancer Data Base (2010–2015) was reviewed for clinically resectable (stage 0/I/II) PDAC patients. Surgical margins, pre‐operative CA19‐9, and receipt of adjuvant chemotherapy were evaluated. Patient overall survival was stratified based on these factors and their respective combinations. Outcomes after UFS were compared to equivalently staged patients after neoadjuvant chemotherapy on an intention‐to‐treat (ITT) basis.

Results

Twelve thousand and eighty‐nine patients were included (n = 9197 UFS, n = 2892 ITT neoadjuvant). In the UFS cohort, only 20.4% had all three factors (median OS = 31.2 months). Nearly 1/3rd (32.7%) of UFS patients had none or only one factor with concomitant worst survival (median OS = 14.7 months). Survival after UFS decreased with each failing factor (two factors: 23 months, one factor: 15.5 months, no factors: 7.9 months) and this persisted after adjustment. Overall survival was superior in the ITT‐neoadjuvant cohort (27.9 vs. 22 months) to UFS.

Conclusion

Despite the perceived benefit of UFS, only 1‐in‐5 UFS patients actually realize maximal survival when known factors highly associated with outcomes are assessed. Patients are proportionally more likely to do worst, rather than best after UFS treatment. Similarly staged patients undergoing ITT‐neoadjuvant therapy achieve survival superior to the majority of UFS patients. Patients and providers should be aware of the false perception of ‘optimal’ survival benefit with UFS in anatomically resectable PDAC.

Withholding Primary Pneumocystis Pneumonia Prophylaxis in Virologically Suppressed Patients With Human Immunodeficiency Virus: An Emulation of a Pragmatic Trial in COHERE

BACKGROUND

Using data from the COHERE collaboration, we investigated whether primary prophylaxis for pneumocystis pneumonia (PcP) might be withheld in all patients on antiretroviral therapy (ART) with suppressed plasma human immunodeficiency virus (HIV) RNA (≤400 copies/mL), irrespective of CD4 count.

METHODS

We implemented an established causal inference approach whereby observational data are used to emulate a randomized trial. Patients taking PcP prophylaxis were eligible for the emulated trial if their CD4 count was ≤200 cells/µL in line with existing recommendations. We compared the following 2 strategies for stopping prophylaxis: (1) when CD4 count was >200 cells/µL for >3 months or (2) when the patient was virologically suppressed (2 consecutive HIV RNA ≤400 copies/mL). Patients were artificially censored if they did not comply with these stopping rules. We estimated the risk of primary PcP in patients on ART, using the hazard ratio (HR) to compare the stopping strategies by fitting a pooled logistic model, including inverse probability weights to adjust for the selection bias introduced by the artificial censoring.

RESULTS

A total of 4813 patients (10 324 person-years) complied with eligibility conditions for the emulated trial. With primary PcP diagnosis as an endpoint, the adjusted HR (aHR) indicated a slightly lower, but not statistically significant, different risk for the strategy based on viral suppression alone compared with the existing guidelines (aHR, .8; 95% confidence interval, .6-1.1; P = .2).

CONCLUSIONS

This study suggests that primary PcP prophylaxis might be safely withheld in confirmed virologically suppressed patients on ART, regardless of their CD4 count.

Opportunities and Challenges of Observational Studies and Randomized Controlled Trials for Evaluating the Therapeutic Efficacy of COVID-19 Convalescent Plasma

Large randomized controlled trials (RCTs) remain the gold standard for evaluating treatment efficacy. However, observational studies, including non-randomized cohort studies, as well as small RCTs have gained increasing attention especially during the SARS-CoV-2 pandemic where critical evaluation of limited therapeutic options are sought to improve patient care while awaiting results for subsequent RCTs. As the authors have previously discussed, RCTs and observational studies are complementary approaches which often appear synergistic with one another. While not all real-world studies are the same, the results of observational studies are notoriously subject to both known and unknown confounding factors. The utilization of COVID-19 Convalescent Plasma is a timely illustration of evaluating the efficacy and safety of a COVID-19 therapy given the dangerous and often lethal effects of the virus and the limited approved therapeutic options for the disease. While awaiting the results of large RCTS of convalescent plasma, serval observational cohorts and small RCTs have attempted to assess the efficacy and safety of this approach with very mixed results. Among the likely reasons for this failure to provide a definitive answer concerning the value of convalescent plasma are the many limitations inherent to addressing treatment efficacy in non-randomized studies. While such studies are often able to capture information on large numbers of individuals rapidly, it is important to understand that although larger numbers may enhance the precision of estimates provided, larger numbers, in and of themselves, do not increase the accuracy of estimates due to patient selection and other biases. At the same time, both observational studies and small RCTS are at risk for publication bias due to investigator, reviewer and editorial bias toward positive studies. In this commentary we discuss the advantages and limitations of these methodologic approaches when addressing urgently needed evidence on the effectiveness and safety of therapies in a crisis such as the COVID-19 pandemic.

Healthcare Funding Decisions and Real-World Benefits: Reducing Bias by Matching Untreated Patients

Governments and health insurers often make funding decisions based on health gains from randomised controlled trials. These decisions are inherently uncertain because health gains in trials may not translate to practice owing to differences in the population, treatment use and setting. Post-market analysis of real-world data can provide additional evidence but estimates from standard matching methods may be biased when unobserved characteristics explain whether a patient is treated and their outcomes. We propose a new untreated matching approach that can reduce this bias. Our approach utilises the outcomes of contemporaneous untreated patients to improve the matching of treated and historical control patients. We assess the performance of this new approach compared to standard matching using a simulation study and demonstrate the steps required using a funding decision for prostate cancer treatments in Australia. Our simulation study shows that our new matching approach eliminates nearly all bias when unobserved treatment selection is related to outcomes, and outperforms standard matching in most scenarios. In our empirical example, standard matching overestimated survival by 15% (95% confidence interval 2-34) compared to our untreated matching approach. The health gains estimated using our approach were slightly lower than expected based on the trial evidence, but we also found evidence that in practice prescribers ceased prior therapies earlier, treated a more vulnerable population and continued treatment for longer. Our untreated matching approach offers researchers a new tool for reducing uncertainty in healthcare funding decisions using real-world data.

Use of real-world evidence for oncology clinical decision making in emerging economies

Real-world evidence (RWE) can provide insights into patient profiles, disease detection, treatment choice, dosing strategies, treatment sequencing, adverse event management and financial toxicity associated with oncology treatment. However, the full potential of RWE is untapped in emerging economies due to structural and behavioral factors. Structural barriers include lack of regulatory engagement, real-world data availability, quality and integrity. Behavioral barriers include entrenched healthcare professional behaviors that impede rapid RWE understanding and adoption. These barriers can be addressed with close collaboration of healthcare stakeholders; of whom, regulators need to be at the forefront given their ability to facilitate use of RWE in healthcare policy and legislation.

Trastuzumab emtansine for HER2-positive metastatic breast cancer: Outcomes from a whole-of-population Australian cohort

Purpose

We aim to describe the treatment patterns and overall survival (OS) outcomes in patients receiving trastuzumab emtansine (T-DM1) for HER2-positive metastatic breast cancer (HER2+MBC) in routine clinical care.

Methods

Retrospective, whole-of-population cohort study of people initiating T-DM1 for HER2+MBC between October 2015 and May 2019 in Australia. We used dispensing claims to estimate time-to-T-DM1 initiation, duration of treatment, and treatments administered prior to and following T-DM1 therapy. We estimated OS from T-DM1 initiation and stratified results based on whether patients received first- or second-line T-DM1 treatment. We benchmarked outcomes to those reported in the pivotal, EMILIA trial.

Results

345 patients initiated T-DM1: 309 as second-line therapy for HER2+MBC and 36 as first-line therapy. 51% of patients had received endocrine therapy and 98% of second-line patients received pertuzumab prior to starting T-DM1. The median age was 57 years (53 in EMILIA); median time-to-T-DM1 initiation from start of HER2-targeted therapy for HER2+MBC was 11.6 months (IQR: 7.9–16.6); median duration of T-DM1 treatment was 6.5 months (3.1–13.5; 7.6 months in EMILIA), and median OS was 19.3 months (7.9–29.5; 29.9 months in EMILIA).

Conclusions

Our findings highlight differences in patient characteristics (older, more previous pertuzumab therapy) and outcomes (shorter OS) from the T-DM1 pivotal trial and provide real-world estimates that can inform patient, clinician and policy, decisions around the use of HER2-targeted therapies in routine clinical care.

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Real-world T-DM1 recipients are older than trial participants.

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Real-world T-DM1 recipients have more prior pertuzumab exposure than trial participants.

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Median overall survival was 10 months shorter than that reported from the trial.

Utility of adjuvant whole abdominal radiation therapy in ovarian clear cell cancer (OCCC): a pragmatic cohort study of women with classic immuno-phenotypic signature

BACKGROUND

To evaluate the initial experience and clinical utility of first-line adjuvant intensity-modulated whole abdominal radiation therapy (WART) in women with ovarian clear cell cancer (OCCC) referred to an academic center.

METHODS

Progression-free and overall survival was analyzed in a pragmatic observational cohort study of histologically pure OCCC patients over-expressing HNF-1ß treated between 2013 and end-December 2018. An in-house intensity-modulated WART program was developed from a published pre-clinical model. Radiation dose-volume data was curated to American Association of Physics in Medicine (AAPM) Task Group 263 recommendations. A dedicated database prospectively recorded presenting characteristics and outcomes in a standardized fashion.

RESULTS

Five women with FIGO (2018) stage IA to IIIA2 OCCC were treated with first-line WART. Median age was 58 years (range 47-68 years). At diagnosis CA-125 was elevated in 4 cases (median 56 kU/L: range 18.4-370 kU/L) before primary de-bulking surgery. Severe premorbid endometriosis was documented in 3 patients. At a median follow-up of 77 months (range 16-83 mo.), all patients remain alive and progression-free on clinical, biochemical (CA-125), and ¹⁸Fluoro-deoxyglucose (FDG) PET/CT re-evaluation. Late radiation toxicity was significant (G3) in 1 case who required a limited bowel resection and chronic nutritional support at 9 months post-WART; 2 further patients had asymptomatic (G2) osteoporotic fragility fractures of axial skeleton at 12 months post-radiation treated with anti-resorptive agents (denosumab).

CONCLUSIONS

The clinical utility of intensity-modulated WART in OCCC over-expressing HNF-1β was suggested in this small observational cohort study. The hypothesis that HNF-1β is a portent of platinum-resistance and an important predictive biomarker in OCCC needs further confirmation. Curating multi-institutional cohort studies utilizing WART by means of "Big Data" may improve OCCC care standards in the future.

A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time

OBJECTIVE

A growing body of observational data enabled its secondary use to facilitate clinical care for complex cases not covered by the existing evidence. We conducted a scoping review to characterize clinical decision support systems (CDSSs) that generate new knowledge to provide guidance for such cases in real time.

MATERIALS AND METHODS

PubMed, Embase, ProQuest, and IEEE Xplore were searched up to May 2020. The abstracts were screened by 2 reviewers. Full texts of the relevant articles were reviewed by the first author and approved by the second reviewer, accompanied by the screening of articles' references. The details of design, implementation and evaluation of included CDSSs were extracted.

RESULTS

Our search returned 3427 articles, 53 of which describing 25 CDSSs were selected. We identified 8 expert-based and 17 data-driven tools. Sixteen (64%) tools were developed in the United States, with the others mostly in Europe. Most of the tools (n = 16, 64%) were implemented in 1 site, with only 5 being actively used in clinical practice. Patient or quality outcomes were assessed for 3 (18%) CDSSs, 4 (16%) underwent user acceptance or usage testing and 7 (28%) functional testing.

CONCLUSIONS

We found a number of CDSSs that generate new knowledge, although only 1 addressed confounding and bias. Overall, the tools lacked demonstration of their utility. Improvement in clinical and quality outcomes were shown only for a few CDSSs, while the benefits of the others remain unclear. This review suggests a need for a further testing of such CDSSs and, if appropriate, their dissemination.

American Society of Clinical Oncology Road to Recovery Report: Learning From the COVID-19 Experience to Improve Clinical Research and Cancer Care

This report presents the American Society of Clinical Oncology's (ASCO's) evaluation of the adaptations in care delivery, research operations, and regulatory oversight made in response to the coronavirus pandemic and presents recommendations for moving forward as the pandemic recedes. ASCO organized its recommendations for clinical research around five goals to ensure lessons learned from the COVID-19 experience are used to craft a more equitable, accessible, and efficient clinical research system that protects patient safety, ensures scientific integrity, and maintains data quality. The specific goals are: (1) ensure that clinical research is accessible, affordable, and equitable; (2) design more pragmatic and efficient clinical trials; (3) minimize administrative and regulatory burdens on research sites; (4) recruit, retain, and support a well-trained clinical research workforce; and (5) promote appropriate oversight and review of clinical trial conduct and results. Similarly, ASCO also organized its recommendations regarding cancer care delivery around five goals: (1) promote and protect equitable access to high-quality cancer care; (2) support safe delivery of high-quality cancer care; (3) advance policies to ensure oncology providers have sufficient resources to provide high-quality patient care; (4) recognize and address threats to clinician, provider, and patient well-being; and (5) improve patient access to high-quality cancer care via telemedicine. ASCO will work at all levels to advance the recommendations made in this report.

Benefits and limitations of real-world evidence: lessons from EGFR mutation-positive non-small-cell lung cancer

While randomized controlled trials (RCTs) are the gold standard for evidence-based medicine, they do not always reflect real-world patient populations, limiting their generalizability and external validity. Real-world evidence (RWE), generated during routine clinical practice, is increasingly important in determining effectiveness outside of the tightly controlled conditions of RCTs, and is now recognized by regulatory bodies as a valuable complement to RCTs. Consequently, it is increasingly important for physicians to understand how RWE data can be used alongside clinical trial data. Here, we discuss the different types of real-world observational studies, outline the benefits and limitations of RWE, and, using examples from EGFR mutation-positive non-small-cell lung cancer, outline how RWE can be used to help inform treatment decisions.

Assessment of Studies Evaluating Incremental Costs, Effectiveness, or Cost-Effectiveness of Systemic Therapies in Breast Cancer Based on Claims Data: A Systematic Review

OBJECTIVES

Large secondary databases, such as those containing insurance claims data, are increasingly being used to compare the effects and costs of treatments in routine clinical practice. Despite their appeal, however, caution must be exercised when using these data. In this study, we aimed to identify and assess the methodological quality of studies that used claims data to compare the effectiveness, costs, or cost-effectiveness of systemic therapies for breast cancer.

METHODS

We searched Embase, the Cochrane Library, Medline, Web of Science, and Google Scholar for English-language publications and assessed the methodological quality using the Good Research for Comparative Effectiveness principles. This study was registered with the International Prospective Register of Systematic Reviews (PROSPERO) under number CRD42018103992.

RESULTS

We identified 1251 articles, of which 106 met the inclusion criteria. Most studies were conducted in the United States (74%) and Taiwan (9%) and were based on claims data sets (35%) or claims data linked to cancer registries (58%). Furthermore, most included large samples (mean 17 130 patients) and elderly patients, and they covered various outcomes (eg, survival, adverse events, resource use, and costs). Key methodological shortcomings were the lack of information on relevant confounders, the risk of immortal time bias, and the lack of information on the validity of outcomes. Only a few studies performed sensitivity analyses.

CONCLUSIONS

Many comparative studies of cost, effectiveness, and cost-effectiveness have been published in recent decades based on claims data, and the number of publications has increased over time. Despite the availability of guidelines to improve quality, methodological issues persist and are often inappropriately addressed or reported.

Causal Diagram Techniques for Urologic Oncology Research

Large quantities of data are now available to medical researchers; however, observational studies are plagued by bias and confounding. Additionally, much of this research only speculates on variable associations, leaving prospective randomized clinical trials as the sole purveyors of claims about causal relations between variables. There has been a growing movement of causal inference that uses new techniques to investigate causality using observational data. These techniques include the implementation of directed acyclic graphs, which allow researchers to explicitly and reproducibly define the causal relationships between study variables, thus making statistical analysis more robust. Directed acyclic graphs further allow researchers to identify confounding and other sources of bias and to discover causal effects among complex networks of variables. This review aims to introduce these techniques to the general urology and urologic oncology research communities in order to provide a basic understanding of causal inference and analysis and call for integration of these practices more generally in research methodology.

Learning health care systems: Highly needed but challenging

BACKGROUND

Learning health care systems (LHSs) have the potential to transform health care. However, this transformation process faces significant challenges.

MATERIALS AND METHODS

Based on proposals and early examples of LHSs in the literature and conceptual analysis of the LHS mission, we provide four models with distinct organizational and ethical implications that may facilitate the transformation.

RESULTS

An LHS could be developed in the following ways: by taking away practical impediments that prevent patients and professionals from engaging in scientific research (model 1: optimization LHS); by routinely analyzing observational data from electronic health records and other sources (model 2: comprehensive data LHS); by making clinical decisions based on the outcomes of the aforementioned data analyses and directly evaluating the outcomes in order to continuously improve decision-making (model 3: real-time LHS); or by embedding clinical trials into routine care delivery (model 4: full LHS).

CONCLUSIONS

Each model has different ethical implications for consent and oversight. Also, the four-model approach shows that reorganizing a health care center into an LHS is not an all-or-nothing decision. Rather, it is a choice from a menu of possibilities. Instead of discussing the advantages and disadvantages of the LHS menu in its entirety, the medical community should focus on the designs and ethical aspects of each of the separate options.

A review of big data and medical research

Universally, the volume of data has increased, with the collection rate doubling every 40 months, since the 1980s. "Big data" is a term that was introduced in the 1990s to include data sets too large to be used with common software. Medicine is a major field predicted to increase the use of big data in 2025. Big data in medicine may be used by commercial, academic, government, and public sectors. It includes biologic, biometric, and electronic health data. Examples of biologic data include biobanks; biometric data may have individual wellness data from devices; electronic health data include the medical record; and other data demographics and images. Big data has also contributed to the changes in the research methodology. Changes in the clinical research paradigm has been fueled by large-scale biological data harvesting (biobanks), which is developed, analyzed, and managed by cheaper computing technology (big data), supported by greater flexibility in study design (real-world data) and the relationships between industry, government regulators, and academics. Cultural changes along with easy access to information via the Internet facilitate ease of participation by more people. Current needs demand quick answers which may be supplied by big data, biobanks, and changes in flexibility in study design. Big data can reveal health patterns, and promises to provide solutions that have previously been out of society's grasp; however, the murkiness of international laws, questions of data ownership, public ignorance, and privacy and security concerns are slowing down the progress that could otherwise be achieved by the use of big data. The goal of this descriptive review is to create awareness of the ramifications for big data and to encourage readers that this trend is positive and will likely lead to better clinical solutions, but, caution must be exercised to reduce harm.

Conceptual framework for precision cancer medicine in Germany: Consensus statement of the Deutsche Krebshilfe working group 'Molecular Diagnostics and Therapy'

Precision cancer medicine (PCM) holds great promises to offer more effective therapies to patients based on molecular profiling of their individual tumours. Although the PCM approach seems intuitive, multiple conceptional and structural challenges interfere with the broad implementation of PCM into clinical practice. Accordingly, concerted national and international efforts are needed to guide the further development and broad adoption of PCM in Germany. With support of the 'German Cancer Aid' (Deutsche Krebshilfe [DKH]) a task force 'Molecular Diagnostics and Therapy' was implemented. In two workshops supported by the DKH, delegates from the fourteen comprehensive cancer centresidentified key topics essential to implement quality-guided, harmonized and adaptable PCM. Based on an online questionnaire and using a modified Delphi approach, nine statements were drafted and evaluated within the group. These statements could serve as a basis to define a collaborative strategy for PCM in the future with the aim to sustain and further improve its quality.

Continuation of Annual Screening Mammography and Breast Cancer Mortality in Women Older Than 70 Years

BACKGROUND

Randomized trials have shown that initiating breast cancer screening between ages 50 and 69 years and continuing it for 10 years decreases breast cancer mortality. However, no trials have studied whether or when women can safely stop screening mammography. An estimated 52% of women aged 75 years or older undergo screening mammography in the United States.

OBJECTIVE

To estimate the effect of breast cancer screening on breast cancer mortality in Medicare beneficiaries aged 70 to 84 years.

DESIGN

Large-scale, population-based, observational study of 2 screening strategies: continuing annual mammography, and stopping screening.

SETTING

U.S. Medicare program, 2000 to 2008.

PARTICIPANTS

1 058 013 beneficiaries aged 70 to 84 years who had a life expectancy of at least 10 years, had no previous breast cancer diagnosis, and underwent screening mammography.

MEASUREMENTS

Eight-year breast cancer mortality, incidence, and treatments, plus the positive predictive value of screening mammography by age group.

RESULTS

In women aged 70 to 74 years, the estimated difference in 8-year risk for breast cancer death between continuing and stopping screening was -1.0 (95% CI, -2.3 to 0.1) death per 1000 women (hazard ratio, 0.78 [CI, 0.63 to 0.95]) (a negative risk difference favors continuing). In those aged 75 to 84 years, the corresponding risk difference was 0.07 (CI, -0.93 to 1.3) death per 1000 women (hazard ratio, 1.00 [CI, 0.83 to 1.19]).

LIMITATIONS

The available Medicare data permit only 8 years of follow-up after screening. As with any study using observational data, the estimates could be affected by residual confounding.

CONCLUSION

Continuing annual breast cancer screening past age 75 years did not result in substantial reductions in 8-year breast cancer mortality compared with stopping screening.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Association Between Autologous Stem Cell Transplant and Survival Among Californians With Multiple Myeloma

Background

Autologous hematopoietic stem cell transplant (aHSCT) is an efficacious treatment for newly diagnosed multiple myeloma patients. However, as rapid advances have resulted in other highly efficacious and less intensive therapies, the role of aHSCT has been questioned.

Methods

We utilized population-based data to identify 13 494 newly diagnosed patients younger than age 80 years between 1998 and 2012. Patient characteristics of aHSCT and non-aHSCT groups were balanced using inverse probability weighting of a propensity score predicting aHSCT use. Multivariable models adjusted for baseline comorbidities, demographics, and socioeconomic status estimated the adjusted hazard ratio (aHR) and 95% confidence intervals (CIs) of death.

Results

Twenty point eight percent (2807) of patients underwent aHSCT, and this rate increased over time from 15.4% in 1998-2002 to 23.9% in 2008-2012. aHSCT was utilized among 37.6% and 11.5% of patients younger than age 60 years and 60 to 79 years, respectively. The median time to aHSCT was 9.4 months, and 89% of all aHSCTs occurred within two years of diagnosis. The median overall survival from time of aHSCT was 72.9 months (95% confidence interval [CI] = 68 to 78). Autologous HSCT at any time was associated with improved survival (aHR = 0.83, 95% CI = 0.75 to 0.92). Among aHSCT recipients, transplant more than 12 months after diagnosis (vs ≤12 months) was associated with worse survival (aHR = 1.33, 95% CI = 1.16 to 1.51). The positive effect of aHSCT on overall survival was similar across study time periods and age groups.

Conclusion

In the era of highly efficacious induction therapies, aHSCT remained infrequently used but continued to be associated with improved survival for multiple myeloma patients and should be considered for newly diagnosed patients.

Estimates of Overall Survival in Patients With Cancer Receiving Different Treatment Regimens: Emulating Hypothetical Target Trials in the Surveillance, Epidemiology, and End Results (SEER)-Medicare Linked Database

IMPORTANCE

The Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database may provide insights into the comparative effectiveness of oncological treatments for elderly individuals who are underrepresented in clinical trials.

OBJECTIVE

To evaluate the suitability of SEER-Medicare data for assessing the effectiveness of adding a drug to an existing treatment regimen on the overall survival of elderly patients with cancer.

DESIGN, SETTING, AND PARTICIPANTS

This comparative effectiveness study analyzed SEER-Medicare data from 9549 individuals who received a new diagnosis of stage II colorectal cancer (2008-2012) and 940 patients who received a new diagnosis of advanced pancreatic adenocarcinoma (2007-2012), with follow-up to December 31, 2013 (SEER-Medicare data released in 2015). Two (hypothetical) target trials were designed and emulated based on 2 existing randomized clinical trials: (1) adjuvant fluorouracil after curative surgery for individuals with stage II colorectal cancer and (2) erlotinib added to gemcitabine for individuals with advanced pancreatic adenocarcinoma. Data were analyzed January 2018 to March 2019.

EXPOSURES

The following treatment strategies were compared: (1) fluorouracil initiation vs no initiation within 3 months of tumor resection and (2) erlotinib initiation vs no initiation within 12 weeks of gemcitabine initiation.

MAIN OUTCOMES AND MEASURES

All-cause mortality within 60 months of baseline for the fluorouracil trial and within 72 weeks for the erlotinib trial.

RESULTS

Compared with 3293 individuals in the existing fluorouracil trial, 9549 eligible individuals included in the present analyses were more likely to have colon cancer (8565 [90%] vs 2291 [71%]) and were older (median [interquartile range], 79 [73-84] vs 63 [56-68] years). The 5-year risk difference for initiation vs noninitiation of fluorouracil after surgery was -3.8% (95% CI, -14.8% to 12.6%), and the mortality hazard ratio (HR) was 0.95 (95% CI, 0.85-1.04). Compared with 569 individuals in the existing erlotinib trial, 940 eligible patients included in the present analysis were older (median [range], 74 [66-93] vs 64 [36-92] years) and more likely to be male (547 [58%] vs 298 [52%]). The 1-year risk difference for initiation vs noninitiation of erlotinib was 4.7% (95% CI, -9.4% to 18.0%), and the corresponding mortality HR was 1.04 (95% CI, 0.86-1.42). In naive analyses, the mortality HR estimate was 1.14 (95% CI, 0.95-1.36) for the fluorouracil emulation and 0.68 (95% CI, 0.54-0.87) for the erlotinib emulation.

CONCLUSIONS AND RELEVANCE

The present estimates were similar to those from randomized clinical trials that studied adding the same cancer drugs to existing regimens. The published HR was 1.02 (95% CI, 0.70-1.48) in the fluorouracil trial for individuals aged 70 or older and 0.96 (95% CI, 0.74-1.24) in the erlotinib trial for individuals aged 65 years or older. The SEER-Medicare database may be adequate for studying the real-world effectiveness of adding a drug to treatment regimens used for elderly individuals with cancer.

Geriatric Research Policy: Japan Clinical Oncology Group (JCOG) policy

Due to the rapid aging of Japan’s population, clinical research focusing on older patients with cancer is urgently needed. The Japan Clinical Oncology Group (JCOG) has conducted several such clinical trials, but there has been no formal policy for geriatric research. We have therefore established a JCOG policy for geriatric cancer research.

We defined the patient selection policy based on treatment tolerance and chronological age. Older patients are categorized into three conceptual groups: ‘fit patients’ who can undergo the same standard treatment given to younger patients, ‘frail patients’ for whom best supportive or palliative care is indicated and ‘vulnerable patients’ who fall between the fit and frail categories. Unmet needs often exist for vulnerable patients.

The policy recommends that study endpoints include not only survival but also other endpoints such as physical and cognitive function because the objective of therapy in older patients is not only extended life expectancy but also maintenance of the patient’s general condition. In this viewpoint, co-primary or composite endpoints that incorporate geriatric assessment in the study design are often applicable.

Study design will differ depending on the study population, clinical question, and treatment. Even for older patients, a randomized clinical trial is still the gold standard when the clinical question asks which treatment is better. An observational study of a broader population is applicable for investigating actual conditions of older patients.

This JCOG Geriatric Research Policy includes several practical solutions for various issues in geriatric research. We plan to revise this policy periodically to guide future geriatric research.

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The rise of precision oncology has made clinical decision making more complex than ever before. The Oncology Data Network was established to enable the clinical community to efficiently access potentially practice‐changing insights from an extended network of cancer centers. This article describes the progress to date and calls for greater collaboration.